Data

Two of three of us are visual learners. We’d rather see it, as opposed to read it. We like to understand, quickly and in visual terms, what’s going on. The ancient adage about a picture being worth 1,000 words is very relevant to digital signage, particularly when most people who get around screens glance at them, as opposed to stopping and really taking in the screen programming. That’s a big reason why I’m thinking data visualization is going to be the next big thing in the digital signage sector. Complicated, data-rich information can be communicated almost at a glance, and when done right, can be presented and updated in real time. It can also, pretty easily, be interactive.

Why should I read this article?

The article explains the benefit of visualizing data. On one side there is more data available, on the other side, new technologies enable you to visualize and animate the data.

At least three things are contributing to what I think will be a big rise in the use of visualized data:

It’s getting easier to collect and harmonize data sources, and more and more data is coming available – pulled from countless resources;

Visualization tools are getting commoditized and consumer-friendly;

HTML5 is making it increasingly easy to present data in compelling and flexible ways.

What is the problem analysed?

The problem that is analyzed is to create awareness with data. In general there is more and more data available, by visualizing the data and create animations, you will get more aware of what is happening.

Two of three of us are visual learners

We like to understand, quickly and in visual terms, what’s going on. The ancient adage about a picture being worth 1,000 words is very relevant to digital signage, particularly when most people who get around screens glance at them, as opposed to stopping and really taking in the screen programming.

That’s a big reason why I’m thinking data visualization is going to be the next big thing in the digital signage sector. Complicated, data-rich information can be communicated almost at a glance, and when done right, can be presented and updated in real time. It can also, pretty easily, be interactive.

On the consumer side it is interesting. We’re all walking around with devices and opting into apps that are collecting anonymous data about where we go and what we do.

Between video analytics, beacons, wifi triangulation, opt-in apps, fitness sensors and social media analytics, there’s endless information about what we’re up to and what interests us. Mash that up with demographics, real time traffic and transport data, polling, sales data and so on, and what can get presented on big screens is really just limited by the information available and the imaginations of network operators.

Data visualization tools have made it somewhat easier to glean intelligence from a mass of information. But today’s tools are still extremely inefficient, as they fail to incorporate the science of human visual perception into their data visualization techniques.

What is the problem analyzed?

Traditional tools also tend to visualize what we already know about the data, rather than the unknown. The ideal data visualization tool would let people find things that they don’t know, but should.

You can observe a lot just by watching
Yogi Berra, an American philosopher

The key role of data analysis is to replace the raw complexity seen in the data with a reduced set of patterns, regularities, and correlations, leading to their theoretical understanding. However, the complexity of data sets and interesting, meaningful constructs in them is starting to exceed the cognitive capacity of the human brain.

Up to a dozen dimensions can be encoded effectively (more if we add soniﬁcation to visualization)  That is still not enough for the hyperdimensional data spaces
that we are dealing with – a key limitation

The article gives a nice overview in case your organization would like start with data visualization. It is written by Ywan van Loon and based on research from Edward Segel and Jeffrey Heer. You can use data visualization to tell a story based on (big) data. The story can be used to communicate within the organization, with partners and with clients. But it can also be used as a marketing content especially when you make it worth to share.

What is the problem analysed?

In general it is more a solution then a problem. It may solve a part of the Big Data challenge to use data. With the right interpretation you can let your data talk.

But before starting to make a narrative of your data you need to find the question or problem you would like to have solved.

We can help you analyzing the problem and based on the analysis create a solution.

The AdWords document summarizes the known knowledge. But even for a team whose almost using AdWords for 10 years, it is an interesting summary.

Starting with the base, what is the problem? In general AdWords is a channel to solve your marketing challenge.

Marketing is the process of communicating the value of a product or service to customers, for the purpose of selling that product or service. (source: Wikipedia). In other word, the challenge is simple, you need to sell your solution (for examplae a product or a service). Google AdWords is an exact fit for marketing because users of Google have a problem or a question they want to solve or get answered. If your companies solution can match it there is high change for a lead or deal. AdWords is an very effective way to generate leads or deals because you can start today and tommorow the first leads or deals can be generated.

Back to the document. In the first pages there's in a solution-problem way described how to solve keyword problems. The problem is described as "why?".

Some remarkable fact is that 15% of all search queries every day are new. In past I thought it was higher but it is an very interesting fact to use with AdWords maintenance.

If you are interested in our AdWords approach then please contacts us.